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Comparison · 2 models · Updated Oct 4, 2026

Gemini 2.5 Pro vs Qwen3 Max

Gemini 2.5 Pro comes out ahead, 63 to 50 on our weighted score, though Qwen3 Max is 30% cheaper per token.

  1. Our pick

    Google

    Gemini 2.5 Pro

    Released Jun 17, 2025

    63/100
    • ECI145.3
    • Price$1.25 / $10.00
    • Context1.05M
  2. Alibaba (Qwen)

    Qwen3 Max

    Released Sep 23, 2025

    50/100
    • ECI142.4
    • Price$1.20 / $6.00
    • Context262K
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01 — Verdict

Gemini 2.5 Pro is our pick

Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against Qwen3 Max (50). It leads on capability, inputs & features and context window. Qwen3 Max wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGemini 2.5 ProCapabilities Index (ECI): Gemini 2.5 Pro 145.3 · Qwen3 Max 142.4
  • Lowest priceQwen3 MaxQwen3 Max $2.40 · Gemini 2.5 Pro $3.44 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 ProGemini 2.5 Pro 1,048,576 · Qwen3 Max 262,144 tokens
  • Widest inputsGemini 2.5 ProGemini 2.5 Pro: Text, Images, PDFs, Audio, Video · Qwen3 Max: Text
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightGemini 2.5 ProQwen3 Max
CapabilityCapabilities Index (ECI)50%7268
Price25%2432
Inputs & features15%10025
Context window10%6137
Overall100%63/10050/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Gemini 2.5 Pro vs Qwen3 Max specifications side by side
SpecificationGemini 2.5 ProGoogleQwen3 MaxAlibaba (Qwen)
Capability
Capabilities Index (ECI)145.3 (best)142.4
ECI rank#78 of 148 (best)#91 of 148
GPQA DiamondGraduate-level science questions85.3% (best)72.6%
FrontierMath Tiers 1–3Research-level mathematics24.6% (best)19.0%
OTIS Mock AIME 2024–2025Competition mathematics84.7% (best)73.3%
SWE-bench VerifiedFixing real GitHub issues57.6%—
SimpleQA VerifiedShort factual questions—48.8%
Price per million tokens
Input$1.25$1.20 (best)
Output$10.00$6.00 (best)
Cached input$0.125—
Blended (3:1)$3.44$2.40 (best)
Long-context rateOver 200K: $2.50 / $15.00Same rate
Price sourceOfficial Google APIOfficial Alibaba API
Limits
Context window1,048,576 tokens (best)262,144 tokens
Max output65,536 tokens65,536 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsYesNo
AudioYesNo
VideoYesNo
ReasoningYesNo
Tool callingYesYes
Structured outputYesNo
Availability
WeightsProprietaryProprietary
API model IDgemini-2.5-proqwen3-max
API providers22 (best)16
ReleasedJun 17, 2025Sep 23, 2025
Knowledge cutoffJan 2025Apr 2025
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Gemini 2.5 Pro$32.50
  • Qwen3 Max$24.00
04 — Questions

Which should you choose?

Which is better: Gemini 2.5 Pro or Qwen3 Max?

Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against Qwen3 Max (50). It leads on capability, inputs & features and context window. Qwen3 Max wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Gemini 2.5 Pro or Qwen3 Max?

Qwen3 Max is cheaper at $1.20 input / $6.00 output per million tokens (official Alibaba API price). Gemini 2.5 Pro costs $1.25 input / $10.00 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $2.40 per million tokens for Qwen3 Max versus $3.44 for Gemini 2.5 Pro (1.4× as much).

Which scores higher on benchmarks?

Gemini 2.5 Pro scores higher on the Capabilities Index (ECI): Gemini 2.5 Pro 145.3 (#78 of 148) and Qwen3 Max 142.4 (#91 of 148). The confidence ranges of the top two overlap (143.6–146.9 vs 140.0–144.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — Gemini 2.5 Pro 85.3%, Qwen3 Max 72.6%; FrontierMath Tiers 1–3 — Gemini 2.5 Pro 24.6%, Qwen3 Max 19.0%; OTIS Mock AIME 2024–2025 — Gemini 2.5 Pro 84.7%, Qwen3 Max 73.3%.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3 Max yet, so there is no like-for-like coding score. On overall capability, Gemini 2.5 Pro leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

Gemini 2.5 Pro has the largest context window at 1,048,576 tokens, against 262,144 for Qwen3 Max. Maximum output per response: Gemini 2.5 Pro up to 65,536, Qwen3 Max up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Gemini 2.5 Pro accepts text, images, PDFs, audio and video; Qwen3 Max accepts text. Gemini 2.5 Pro handles the widest range of inputs.

Are any of these open source?

No. Gemini 2.5 Pro and Qwen3 Max are proprietary and only available through APIs and apps.

Which is newer?

Qwen3 Max is the newest, released Sep 23, 2025. Gemini 2.5 Pro came out Jun 17, 2025. Knowledge cutoff: Gemini 2.5 Pro Jan 2025, Qwen3 Max Apr 2025.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.